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Cheng Su f4c896885d [SPARK-35693][SS][TEST] Add plan check for stream-stream join unit test 
### What changes were proposed in this pull request?

The changed [unit test](https://github.com/apache/spark/blob/master/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingJoinSuite.scala#L566) was introduce in https://github.com/apache/spark/pull/21587, to fix the planner side of thing for stream-stream join. Ideally check the query result should catch the bug, but it would be better to add plan check to make the purpose of unit test more clearly and catch future bug from planner change.

### Why are the changes needed?

Improve unit test.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Changed test itself.

Closes #32836 from c21/ss-test.

Authored-by: Cheng Su <chengsu@fb.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-06-09 13:45:16 +00:00
..
catalyst [SPARK-35390][SQL] Handle type coercion when resolving V2 functions 2021-06-09 13:22:19 +00:00
core [SPARK-35693][SS][TEST] Add plan check for stream-stream join unit test 2021-06-09 13:45:16 +00:00
hive [SPARK-35058][SQL] Group exception messages in hive/client 2021-06-09 08:23:09 +00:00
hive-thriftserver [SPARK-21957][SQL][FOLLOWUP] Support CURRENT_USER without tailing parentheses 2021-06-04 13:32:56 +00:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml
README.md

README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.

Running ./sql/create-docs.sh generates SQL documentation for built-in functions under sql/site, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.